The relationship of sex-role stereotypy to anger expression and the report of psychosomatic symptoms

The purpose of this investigation was to assess the relationship between selected psychological and behavioral measures concenred with the expression of anger and the report of psychosomatic symptoms. Presumably healthy college students filled out a symptom inventory which served as the criterion measure. Additionally, questionnaires were used to measure sex-role stereotypy, assertiveness, various types of hostility, and hostility guilt, which were then employed in a series of related analyses. Results supporting predicted relationships consistently demonstrated a positive association between the number of symptoms and indirect expression of anger as well as certain stereotypically feminine traits. Significant negative correlations were found between the symptom measure and assertiveness and between the symptom measure and scores on masculinity scales. Predictions that symptom frequency would be negatively related to the direct expression of hostility and positively related to hostility-guilt were not supported.     

Instability of hierarchical cluster analysis due to input order of the data: the PermuCLUSTER solution

Hierarchical agglomerative cluster analysis (HACA) may yield different solutions under permutations of the input order of the data. This instability is caused by ties, either in the initial proximity matrix or arising during agglomeration. The authors recommend to repeat the analysis on a large number of random permutations of the rows and columns of the proximity matrix and select a solution with the highest goodness-of-fit. This approach was implemented in an SPSS add-in, PermuCLUSTER, which can perform all HACA methods of SPSS. Analyses of 2 data sets show that (a) results are affected by input order, (b) instability in one method co-occurs with instability in other methods, and (c) some instability effects are more dramatic because they occur at higher agglomeration levels.     

Shyness: relationship to social phobia and other psychiatric disorders

The relationship between shyness, social phobia and other psychiatric disorders was examined. The prevalence of social phobia was significantly higher among shy persons (18%) compared with non-shy persons (3%). However, the majority of shy individuals (82%) were not socially phobic. A significant and positive correlation was found between the severity of shyness and the presence of social phobia, but the data suggest that social phobia is not merely severe shyness. Social phobia was also positively and moderately correlated with introversion and neuroticism. Thus, shy persons with social phobia were shyer, more introverted, and more neurotic than other shy people, but none of these factors was sufficient to distinguish shy persons with social phobia from those without social phobia. The proportion of the shy group with psychiatric diagnoses other than social phobia was significantly higher than among the non-shy group, indicating that various diagnostic categories are prominent among the shy. The results are discussed in terms of the overlap in shyness and social phobia and the relationship of shyness to other psychiatric diagnoses and personality dimensions.     

Immune disorders and handedness in dyslexic boys and their relatives

Thirty dyslexic and 30 control boys aged 7–11 years were compared for frequency of immune disorders and handedness as well as for family history of immune disorders and learning disabilities (dyslexia and stuttering). They were also compared for neurological status and for history of speech and language difficulties. There were no significant differences between the two groups in the frequency of immune disorders and in handedness. The results showed significantly more dyslexic boys with soft neurological signs and signs of speech and language disorders. The frequency of dyslexia was significantly higher in the relatives of the dyslexic boys. Also significantly more mothers of the dyslexic boys reported difficulties during pregnancy and complications at delivery. The results are discussed in terms of Geschwind's hypothesis and neuromaturational delay as possible determinants of developmental dyslexia.     

Learned helplessness versus reactance: The effects of sex-role stereotypy

Both learned helplessness and reactance theories hypothesize that the effects of noncontingent reinforcement on later performance are related to the amount of experience with noncontingent reinforcement and to the subjects' expectations of control. In addition, learned helplessness theorists have suggested that performance may depend upon the causes to which subjects ascribe failure. The present study investigated these hypotheses by defining expectation of control as the degree of sex-role stereotypy and by assessing causal attributions. Forty men and 40 women were given either zero, three, four, five, or six discrimination problems for which they received noncontingent reinforcement; they were subsequently tested on anagrams and math problems. Causal attributions were rated after each set of tasks. The data suggested the following. (1) In general, under conditions of noncontingency, high masculinity subjects performed better on anagrams and low masculinity subjects performed worse on anagrams than subjects in the control conditions; stereotypic femininity was not related to performance. (2) Ratings of attributions for failing the discrimination problems were generally unrelated to performance, although there was weak support for the facilitating effects of effort attributions. (3) Subsequent to anagram and math performance, women rated external attributions higher following success and internal attributions higher following failure than did men. The implications for learned helplessness and reactance theories are discussed.The authors would like to thank Stephen Haynes and Jack McKillip for their helpful comments on earlier versions of this paper.     

The Social Thoughts and Beliefs Scale: a new inventory for assessing cognitions in social phobia

Development and initial psychometric features of a new inventory to assess cognitions associated with social phobia are described. The Social Thoughts and Beliefs Scale (STABS) is designed to assess cognitions in individuals with social phobia. In the 1st study, an initial pool of 45 items was reduced to 21. In the 2nd study, psychometric features of the scale were examined in a sample of individuals with social phobia, other anxiety disorders, and no psychiatric disorder. Total scores and two factor scores significantly differentiated individuals with social phobia from those in the other groups and were found to have adequate test-retest reliability and internal consistency. Potential usefulness of the STABS for assessing cognitions associated with social phobia is discussed.     

A latent class unfolding model for analyzing single stimulus preference ratings

A multidimensional unfolding model is developed that assumes that the subjects can be clustered into a small number of homogeneous groups or classes. The subjects that belong to the same group are represented by a single ideal point. Since it is not known in advance to which group of class a subject belongs, a mixture distribution model is formulated that can be considered as a latent class model for continuous single stimulus preference ratings. A GEM algorithm is described for estimating the parameters in the model. The M-step of the algorithm is based on a majorization procedure for updating the estimates of the spatial model parameters. A strategy for selecting the appropriate number of classes and the appropriate number of dimensions is proposed and fully illustrated on some artificial data. The latent class unfolding model is applied to political science data concerning party preferences from members of the Dutch Parliament. Finally, some possible extensions of the model are discussed.The first author is supported as Bevoegdverklaard Navorser of the Belgian Nationaal Fonds voor Wetenschappelijk Onderzoek. Part of this paper was presented at the Distancia meeting held in Rennes, France, June 1992.     

A generalized majorization method for least souares multidimensional scaling of pseudodistances that may be negative

The usual convergence proof of the SMACOF algorithm model for least squares multidimensional scaling critically depends on the assumption of nonnegativity of the quantities to be fitted, called the pseudodistances. When this assumption is violated, erratic convergence behavior is known to occur. Three types of circumstances in which some of the pseudodistances may become negative are outlined: nonmetric multidimensional scaling with normalization on the variance, metric multidimensional scaling including an additive constant, and multidimensional scaling under the city-block distance model. A generalization of the SMACOF method is proposed to resolve the difficulty that is based on the same rationale frequently involved in robust fitting with least absolute residuals.I am grateful to Patrick Groenen and Rian van Blokland-Vogelesang for their help with some of the computations, and to the anonymous referees for their very useful comments.